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About

ClickHouse is a fast open-source OLAP database management system. It is column-oriented and allows to generate analytical reports using SQL queries in real-time. ClickHouse's performance exceeds comparable column-oriented database management systems currently available on the market. It processes hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. ClickHouse uses all available hardware to its full potential to process each query as fast as possible. Peak processing performance for a single query stands at more than 2 terabytes per second (after decompression, only used columns). In distributed setup reads are automatically balanced among healthy replicas to avoid increasing latency. ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. All nodes are equal, which allows avoiding having single points of failure.

About

The Leading High-Performance Distributed SQL Database. Open source, cloud native relational DB for powering global, internet-scale apps. Single-Digit Millisecond Latency Build blazing fast cloud applications by serving queries directly from the DB. Massive Scale. Achieve millions of transactions per second and store multiple TB’s of data per node. Geo-Distribution. Deploy across regions and clouds with synchronous or multi-master replication. Built for Cloud Native Architectures. Develop, deploy and operationalize modern applications faster than ever before with YugabyteDB. Gain Developer Agility. Leverage full power of PostgreSQL-compatible SQL and distributed ACID transactions. Operate Resilient Services. Ensure continuous availability even when underlying compute, storage or network fails. Scale On-Demand. Add and remove nodes at will. Say no to over-provisioned clusters forever. Lower User Latency.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies of all sizes

Audience

Developers looking for an open source, distributed SQL database for global, internet-scale applications with low query latency, extreme resilience against failures

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 3.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Pros & Cons from Real Users

Pros

  • ClickHouse is really really fast. I can say that it is THE fastest I've came across. It has lots of native integration options S3, Kafka, SQLite, PostgreSQL and so on. Its SQL capabilities are top notch. And it is 100% free!

Cons

  • - Updates and deletes are eventual. - Hard to setup a cluster. - Does not have ACID.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ClickHouse
Founded: 2021
United States
clickhouse.com

Company Information

Yugabyte
United States
www.yugabyte.com

Alternatives

Alternatives

Redis

Redis

Redis Labs
CockroachDB

CockroachDB

Cockroach Labs
CelerData Cloud

CelerData Cloud

CelerData

Categories

Categories

Integrations

Arctype
NeoBase
Acryl Data
Arcade
AtomicJar
Authorizer
ChartDB
Elestio
Explo
Hue
IBM watsonx.data
Megaladata
Prometheus
QStudio
Scarf
Supaboard
Syself
Tenzir
Timeplus
YepCode

Integrations

Arctype
NeoBase
Acryl Data
Arcade
AtomicJar
Authorizer
ChartDB
Elestio
Explo
Hue
IBM watsonx.data
Megaladata
Prometheus
QStudio
Scarf
Supaboard
Syself
Tenzir
Timeplus
YepCode
Claim ClickHouse and update features and information
Claim ClickHouse and update features and information
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Claim Yugabyte and update features and information